Amazon

Sr. Software Development Engineer - Big Data, Aws Elastic Mapreduce (Emr)

3+ months agoSeattle, WA

DESCRIPTION

Want to change the world with Big Data and Analytics? Come join us on the Amazon Web services (AWS) Elastic MapReduce (EMR) team!
EMR is a massively scaled distributed service that gives users fast and predictable Big Data performance with clusters running Hadoop, Hive, Pig, Impala, Spark, Presto, HBase and more, with the ability to effortlessly scale up and down as needed. We run millions of customer clusters, enabling processing on vast datasets.
We are developing innovative new features including the next-generation cluster management system, real-time processing for big data and intuitive ways of interacting with data, and we're looking for top engineers to build them from the ground up.
This is a hands-on position where you will be do everything from designing and building extremely stable components and cutting-edge features for the savviest customers in the business to help them get the best results.
You will have a chance to work with the open source community and contribute significant portions its software to open source projects possibly including Hadoop, Spark, Pig and Hbase. You need to not only be a top software developer with excellent programming skills, an understanding of big data and parallelization, and a stellar record of delivery but also excel at leadership and customer obsession and have a real passion for massive-scale computing. If you want to truly test your mettle against the hardest challenges in distributed systems to build solutions for large scale problems in a wide variety of domains, come join our group.
Your responsibilities will include:
- Translation of complex functional and technical requirements into detailed architecture and design
- Deliver systems and features with top-notch quality, on time
- Develop new technologies for monitoring production clusters
- Own the software development process end-to-end, including: working with engineers and product managers to develop requirements; designing, architecting, planning, implementing, and testing new systems and features; deploying, and operating the production EMR systems.
In joining our team, you will get to work with a minimum of technical supervision, while playing a variety of roles as needed to respond efficiently to multiple program priorities. You will get to collaborate with some of the best and brightest minds in the industry. You'll enjoy a competitive salary, great benefits, a creative and agile work environment, and the exciting opportunity to be part of a fast-paced and growing team and one of the most innovative technology companies - but most of all, you will get the satisfaction of making products that millions use everyday to great effect!
For more information on Amazon Web Services, please visit http://aws.amazon.com

For more information on Amazon Elastic MapReduce, please visit http://aws.amazon.com/elasticmapreduce and http://aws.amazon.com/emr-jobs

Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.

Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and we host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon's culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.

Our team also puts a high value on work-life balance. Striking a healthy balance between your personal and professional life is crucial to your happiness and success here, which is why we aren't focused on how many hours you spend at work or online. Instead, we're happy to offer a flexible schedule so you can have a more productive and well-balanced lifeboth in and outside of work.

BASIC QUALIFICATIONS

• 4+ years of professional software development experience
• 3+ years of programming experience with at least one modern language such as Java, C++, or C# including object-oriented design
• 2+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems

PREFERRED QUALIFICATIONS

• Very strong Computer Science fundamentals in algorithm design, data structures, problem solving, and complexity analysis
• Experience designing and building highly-scaled distributed systems and web services
• Thorough understanding of parallel algorithms, concurrency, asynchronous architectures
• Experience working in an agile software development organization
• Experience building with SOA using Java on Linux
• Proficiency in high-performance, multi-threaded programming
• Knowledge of and contribution to Hadoop ecosystem
• Experience with distributed systems architecture
• Experience with one or more of Ruby, Python, Perl
• Proven ability to effectively drive cross-team solutions that may have complex dependencies
• Masters in Computer Science with emphasis on distributed systems and Big Data architectures is a plus.
• Very strong Computer Science fundamentals in algorithm design, data structures, problem solving, and complexity analysis
• Strong proficiency in developing objected-oriented software, with deep experience in one or more relevant languages (Java, C, , C#)
• Meets/exceeds Amazon's leadership principles requirements for this role
• Meets/exceeds Amazon's functional/technical depth and complexity for this role

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Job ID: Amazon-1392013